Move Python scripts for building examples into tfjs-examples (tensorflow#38)

* WIP

* Add mnist-transfer-cnn and update build files

* Update build scripts

* bugfixes

* yarn.lock updates

* Remove http-server in favor of yarn watch; fix licenses

* Serve local pretrained model with http-server

* Let user choose local vs. remote pretrained model.

Author: davidsoergel

deploy.sh

@@ -1,5 +1,5 @@
 #!/usr/bin/env bash
-# Copyright 2018 Google Inc. All Rights Reserved.
+# Copyright 2018 Google LLC. All Rights Reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

iris/build-resources.sh

@@ -0,0 +1,61 @@
+#!/usr/bin/env bash
+
+# Copyright 2018 Google LLC. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# =============================================================================
+
+# Builds resources for the Iris demo.
+# Note this is not necessary to run the demo, because we already provide hosted
+# pre-built resources.
+# Usage example: do this from the 'iris' directory:
+#   ./build-resources.sh
+
+set -e
+
+DEMO_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+
+TRAIN_EPOCHS=100
+while true; do
+  if [[ "$1" == "--epochs" ]]; then
+    TRAIN_EPOCHS=$2
+    shift 2
+  elif [[ -z "$1" ]]; then
+    break
+  else
+    echo "ERROR: Unrecognized argument: $1"
+    exit 1
+  fi
+done
+
+RESOURCES_ROOT="${DEMO_DIR}/dist/resources"
+rm -rf "${RESOURCES_ROOT}"
+mkdir -p "${RESOURCES_ROOT}"
+
+# Run Python script to generate the pretrained model and weights files.
+# Make sure you install the tensorflowjs pip package first.
+
+python "${DEMO_DIR}/python/iris.py" \
+    --epochs "${TRAIN_EPOCHS}" \
+    --artifacts_dir "${RESOURCES_ROOT}"
+
+cd ${DEMO_DIR}
+yarn
+yarn build
+
+echo
+echo "-----------------------------------------------------------"
+echo "Resources written to ${RESOURCES_ROOT}."
+echo "You can now run the demo with 'yarn watch'."
+echo "-----------------------------------------------------------"
+echo